Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem +Machine learning -Andrew Ng +Carlos Guestrin +Class imbalance +Poker +Gradient descent +Probability, Paradox, and the Reasonable Person Principle -Naive Bayes classifier -https:/github.com/JohnLangford/vowpal wabbit/wiki +Paradox -Neural network"

Positive matches

• 0.046 + - Probability
• 0.033 + - Simpson's paradox
• 0.021 + - Neuron
• 0.014 + - Jupyter/notebook
• 0.013 + - IPython notebook
• 0.007 + - Cluster analysis
• 0.007 + - Tom M. MItchell
• 0.007 + - Training dataset
• 0.007 + - Sargur Srihari
• 0.007 + - Image completion
• 0.007 + - Recommender system
• 0.007 + - One-shot learning
• 0.007 + - Decision tree
• 0.007 + - Boosting (machine learning)
• 0.007 + - Michael I. Jordan
• 0.007 + - Artificial neural network
• 0.007 + - https://github.com/JohnLangford/vowpal_wabbit/wiki
• 0.006 + - Machine learning for healthcare
• 0.006 + - EM algorithm
• 0.006 + - GraphLab

Negative matches

• 0.026 + - Deep learning
• 0.022 + - Paper/Srivastava2014
• 0.007 + - Liquid state machine
• 0.007 + - Ilya Sutskever
• 0.007 + - Jack Terwilliger
• 0.007 + - Neural Turing machine
• 0.007 + - Recurrent neural network
• 0.007 + - word2vec
• 0.006 + - Dropout
• 0.004 + - Graph embedding
• 0.003 + - Hierarchical softmax
• 0.003 + - Tomas Mikolov
• 0.002 + - Gensim
• 0.002 + - Long short-term memory
• 0.002 + - sense2vec
• 0.002 + - Wolfgang Maass
• 0.001 + - WordRank
• 0.001 + - Google
• 0.001 + - Attention (Deep learning)
• 0.001 + - TensorFlow